My research work focuses on how people use information and communication technologies to consume experience goods and influence others to do so. These are inextricably linked to how firms behave and how public policies affect market structures. My work focuses on the application of robust empirical identification methods to analyze large datasets obtained from organic in-vivo large-scale network-centric randomized experiments. Most of my research spans two interrelated applied areas. I am interested in the Impact of Information and Communication Technologies on Education (such as the effect of Internet, Computers, Tablets and Smartphones) and in Peer-Influence and Consumption in the Media Industry (such as the changing landscape in TV, streaming, advertising). The bulk of my work is in medialytics — using big datasets to understand the future of the media industry. In addition, I have also been studying Competition, Consumer Churn and Switching Costs in the telecommunications industry.

Research Methods:

I have used several quantitative research methods to date in my work, in particular Econometrics and Data Analytics, Strategies for Identification in Observational Studies and Large-scale Randomized Field Experiments. Some of my work has also benefited from Structural Modeling and Machine Learning Techniques.